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hinged-state-classifier-resnet18
joonhaim/hinged-state-classifier-resnet18
hinged-state-classifier-resnet18 is a image classification model from joonhaim. Use it when you need a label for an image. It is set up for pytorch. The card lists the license as mit.
ResNet18 image classification model for surgical instrument state recognition.
Access
Public
Updated Apr 4, 2026
Repo size
44.8 MB
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0
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Repo makeup
Click a slice to open those files.
.pt44.8 MB · 100%
At a glance
- Task
- Image Classification
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026
- SHA
- 03644d79
Model card
From the Hugging Face model README
hinged-state-classifier-resnet18
ResNet18 image classification model for surgical instrument state recognition.
Task
Binary classification of hinged surgical instrument state:
- closed
- open
Model details
- Architecture: ResNet18
- Framework: PyTorch
- Checkpoint:
best.pt - Input image size: 224 × 224
Dataset
Trained on:
joonhaim/hinged-state-classifier-crops
Class mapping
- 0: closed
- 1: open
Notes
This is a custom PyTorch checkpoint for classifying the state of hinged surgical instruments from cropped images.
The class order must match the order used during training.
- Task
- Image Classification
- Library
- pytorch
- License
- mit
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026